Enterprise AI factory
We bring AI into how your company builds software, with the security, regulatory controls and human checkpoints an enterprise needs. Adapted to your process, with results from the first months.
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Our own factory
Agents write the code. People keep the decisions.
No agent approves its own work: an agent from another provider reviews each change, and our rules decide what merges. It is the way of working we bring to your company.
Counts from the GitHub history of our product repository, as of November 8, 2026. Cost from the factory’s own report.
Why Abant
There are plenty of AI tools, many of them open source. What a company is missing is the system around them: who uses what, with which data, under which rules, and who signs off.
Everything we build, we build with AI. Our own company runs on it too.
Learning where the controls belong took us a long time. That is what we bring to your company: not one more tool, but a way of working we have already tested on ourselves.
Security and regulation
Before any agent touches your code, we define what it can access, which data can reach which model and who signs off. Then we turn the regulations and policies that apply to you into concrete controls, with evidence an auditor can follow.
Which data may reach which tool and model, and where it is processed.
Agents get only the permissions a task needs. Credentials are never shared.
Your sector’s rules and your internal policies, turned into controls applied to every task.
Every action, approval, model and cost on record.
| Requirement | Control we set up | Evidence |
|---|---|---|
| Data protection | Rules for which data each tool and model may receive | Data-flow register |
| Access control | Least-privilege accounts for every agent, with no shared credentials | Permission review |
| Change management | Human approval before any change is merged | Approval log |
| Vendor risk | Only vetted AI providers and models, set by policy | Approved-provider register |
| Auditability | Each task records who approved it, what ran and what it cost | Audit trail per change |
Adapted to your company
You don’t have to transform your whole company to go agentic. We start where AI pays off today, inside the process you already have, and adapt it step by step: governed from the start, with a plan for what comes next.
We map your process, your rules and your risks, set up the governance and choose the first workflows where AI pays off.
You get: the first real tasks running under your rules.
Real work goes through the factory in one or two teams, measured against your own baseline.
You get: measured results on your own projects.
We extend to more teams and processes, give autonomy only where it has been earned, and keep a roadmap for the next stage.
You get: a governed AI roadmap for your company.
Services
Most companies start with governance and grow from there. Each service can be hired on its own.
Govern
We design and set up your enterprise harness: the policies, security and controls that let AI work inside your company without putting it at risk.
Organize
We help you restructure how work gets done: which steps agents take, where people review, and who builds the tools that keep AI in check.
Build
We build it for you, or set up the same factory inside your team. Same method, same controls.
How we control AI
Every project runs through the same loop. Agents move fast between checkpoints; specialized decisions stay with people.
Agents draft the plan from your goals and context. A person reviews scope, risks and priorities.
A person approvesWe optimize the path: task order, the right model for each task and the checks it needs.
A person approvesAI agents write the code in isolated branches, under your rules and permissions.
AgentsAn engineer reviews the generated code before anything moves on.
A person approvesTests and CI run in your pipeline. Specialized cases get a human look.
Agents and a personChanges merge with decisions, checks and cost on record. We measure and tune the factory with you.
On recordThe loop behind the loop
Our engineers build the checks, reviewers and guardrails, with AI’s help. Every project makes them better, so the next one starts safer.
The product
Private alpha · for our clientsWe built it to run our own work. An idea goes in; reviewed software, ready to merge, comes out. Five parts, each one a role your company already knows.
A short call to understand your company, your rules and where AI can help first. You leave with a clear next step, whether or not we work together.
or write to hi@abant.ai
